What is the Outlit Claude Skill?

It is a specialized capability that allows Claude to access and query unified customer data—including profiles, timelines, and billing—directly via the Outlit CLI and MCP.

How does Outlit help identify churn?

Outlit correlates signals across tools, such as authentication failures combined with support tickets, to surface proactive churn-risk insights and recommended actions.

Can I perform semantic searches with this skill?

Yes, Outlit supports natural language semantic search, allowing you to find 'pricing objections' or 'budget concerns' across all conversations without needing exact keyword matches.

What kind of output does the Outlit CLI provide?

While it provides readable tables for humans, it automatically outputs structured JSON when piped to other tools or used in CI/CD environments, ensuring AI agents can parse it easily.

Outlit Customer Intelligence

Name: Outlit Customer Intelligence
Author: dvcrn

bydvcrn

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分析与监控

Integrates unified customer context, product signals, and billing data into Claude via a specialized CLI and MCP interface.

Outlit is a powerful customer intelligence tool that consolidates disparate data points—from product activity and web signals to billing and support conversations—into a single, searchable context graph. By adding this skill to Claude, you empower your AI agent to answer complex business questions, identify churn risks, and perform semantic searches across customer interactions with full source attribution. It bridges the gap between raw data and actionable insights, providing a structured JSON output that is perfect for automated workflows and data-driven decision-making.

主要功能

01AI-driven 'Fact' extraction for high-level business insights like budget changes

02Unified customer context graph and timeline combining product, billing, and chat data

03Semantic natural-language search across all historical customer interactions

04Read-only SQL analytics and schema inspection for deep data exploration

053 GitHub stars

06Proactive churn-risk detection via cross-tool signal correlation

使用场景

01Identifying high-value accounts that are at risk of churning due to inactivity

02Retrieving unified customer profiles and product usage history for support agents

03Analyzing recurring customer objections across multiple communication channels

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace outlit

For use in Claude.ai and ChatGPT

主要功能

01AI-driven 'Fact' extraction for high-level business insights like budget changes

02Unified customer context graph and timeline combining product, billing, and chat data

03Semantic natural-language search across all historical customer interactions

04Read-only SQL analytics and schema inspection for deep data exploration

053 GitHub stars

06Proactive churn-risk detection via cross-tool signal correlation

使用场景

01Identifying high-value accounts that are at risk of churning due to inactivity

02Retrieving unified customer profiles and product usage history for support agents

03Analyzing recurring customer objections across multiple communication channels

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace outlit

For use in Claude.ai and ChatGPT